Lithium battery disassembly process simulation and process package generation method based on generative AI

By constructing a disassembly process simulation model using generative AI and verifying it with a physics engine, the problems of long design time and poor adaptability of lithium battery disassembly processes have been solved. This has enabled the generation of fast and safe lithium battery disassembly solutions, improving disassembly efficiency and safety.

CN122154155APending Publication Date: 2026-06-05QINTIAN TRADING (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINTIAN TRADING (SHENZHEN) CO LTD
Filing Date
2026-01-23
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing lithium battery dismantling processes have long design cycles, making it difficult to quickly respond to diverse battery types. Furthermore, the lack of systematic verification methods leads to frequent on-site adjustments, resulting in low safety and efficiency.

Method used

Generative AI is used to build a disassembly process simulation model. Generative adversarial networks are used to learn the mapping relationship between battery parameters and disassembly process schemes. Combined with a physics engine, the feasibility and safety of the schemes are verified, and a standardized process package is generated.

Benefits of technology

It enables the rapid generation of efficient and safe disassembly process solutions adapted to specific battery models, significantly improving disassembly efficiency and safety while reducing operational risks.

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Abstract

The application provides a lithium battery disassembly process simulation and process package generation method based on generative AI, comprising: S1, constructing a disassembly process simulation model, the disassembly process simulation model adopts generative artificial intelligence; S2, receiving battery parameters as input, automatically generating a disassembly process scheme through the disassembly process simulation model, the disassembly process scheme contains tool selection, process timing and safety threshold; S3, simulating and verifying the disassembly process scheme through a physical engine to obtain a simulation verification result; S4, determining a verified disassembly process scheme according to the simulation verification result, and generating a disassembly process package. The application significantly improves the disassembly efficiency and safety, provides efficient, intelligent and safe technical support for the lithium battery recycling industry, and shows important application value in complex industrial scenarios.
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